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INDONESIA
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro
Published by Universitas Sultan Ageng Tirtayasa
ISSN : 25285688     EISSN : 25285696     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
VOLT: Jurnal Ilmiah Pendidikan Teknik Elektro (Scientific Journal of Electrical Engineering Education) [ISSN: 2528-5688, e-ISSN: 2528-5696], is a peer-reviewed, scientific journal published by Department of Electrical Engineering Vocational Education, Universitas Sultan Ageng Tirtayasa (UNTIRTA) in collaboration with Asosiasi Dosen dan Guru Vokasi Indonesia (ADGVI) - Association of Indonesian Vocational Educators (AIVE). The aim of this journal is to publish high-quality articles to all aspects of the latest outstanding developments in the field of Electrical Engineering Education, Vocational Education and Electrical Engineering. The journal invites scientists, teachers, lecturers, practitioners, engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Electrical Engineering Education, Vocational Education, and Electrical Engineering which covers 8 majors areas of research that includes: 1) Electrical Engineering Education, 2)Technical and Vocational Education and Training (TVET), 3) Vocational Education, 4) Engineering Education, 5) Electronics Engineering Education, 6) Information and Communication Technology Education, 7) Mechatronics Education, and 8) Electrical Engineering (Power, Electronics, Instrumentation and Control, Telecommunication and Multimedia, Computer and Informatics Engineering, Signal/Image Processing, etc.). It was first published in 2016. VOLT regularly published twice in a year on April and October.
Arjuna Subject : -
Articles 13 Documents
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Search results for , issue "Vol 2, No 2 (2017): October 2017" : 13 Documents clear
Implementation Segmentation of Color Image with Detection of Color to Detect Object Fajar Mahardika; Dhanar Intan Surya Saputra
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1443.169 KB) | DOI: 10.30870/volt.v2i2.1095

Abstract

Detection of objects in an image 2 dimensional is a process which is quite complex to do. Object detection required a computer vision approach to the desired part of the object can be recognizable computer accurately. The method in this research using waterfall method. This research will describe the application of color segmentation method with the color detection of a digital image to produce image segment object in the form of blob so that the computer can be detected. The object detection process will process the resulting color segment by the process of segmentation so that can know the number of detected objects, the area and the center of the object. This application can take pictures with laptop or notebook webcam. The result of color segmentation based on color detection is strongly influenced by color samples and color tolerance values to which the segmentation process is based. Lighting, location, texture, and contour of objects or background image will greatly affect the results of segmentation and object detection.
Analysis of The Sensor Line on Line Follower Robot as an Alternative Transport The Tub Trash in The Shopping Center Yurni Oktarina; M. Nawawi; Windy Gafrila Tulak
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.708 KB) | DOI: 10.30870/volt.v2i2.1859

Abstract

This is a line follower robot is a robot designed to assist humans in activities such as throw away trash in the shopping center. On robot sensors added a line that consists of photodiode and LED.  The robot will walk follows the path which has been given a different color (black and white) to be detected by the sensor lines at the location of the junk-filled tubs and tubs of the empty trash. The research aims to know the performance of the sensor lines and the movement of the robot with the research method using PID. The results of this study when the distance between the sensor and the surface of 5 cm – 7 cm then the performance of the sensor surface in distinguishing the line of black and white still work fine, while at a distance of 8 cm – 10 cm sensor line performance diminished. For setting the PID, P = 10 will result averaged a greater error value i.e. 9.9 so the robot will move fast but unstable, while P = 5 align the median value error – i.e. 8 so the robot will move stable (as black)
Implementation of Template Matching Method for Door Lock Security System Using Raspberry Pi Beni Widiawan; Syamsiar Kautsar; Fendik Purnomo; Bety Etikasari
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1137.719 KB) | DOI: 10.30870/volt.v2i2.2047

Abstract

In several locations, the security system is becoming a priority. One of the location is the laboratory. There are many valuable research tools and equipment in the laboratory, so to improve the security system. Generally, the access to entry the laboratory is equipped with a digital safety system. Computer Control System Laboratory at Information Technology Department of Jember State Polytechnic uses RFID-Card as access right for entrance to the laboratory. RFID-Card also functions as ID-Card (printed with photo and biodata) and packaged to fit in user clothes pocket. However, using RFID gives less of flexibility. The user must remove the ID-Card and attach the card to the RFID reader box. Therefore, in this study will design a door lock security system based on the image processing to replace the use of RFID. Later, the user simply positions themselves in the Pi Camera work area. Processed data from the camera, the matched with image data which stored in the database. The database contains a photo of laboratory members which listed on the employee ID-Card. Template matching method is used as image matching method which stored in Raspberry Pi database. If the image which captured by camera is matched with the image data in the database, the controller will give entry access to the user. Based on the experimental results, template matching method has a success rate of 96%.

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